A software- or computer-implemented system and method utilized to track user engagement and mannerisms for gaming methods and systems. The present system and method is used in conjunction with open source software to track the plurality of facial expressions generated by a user in response to the publication and viewing of a plurality of media presentations. The plurality of facial expressions of the user are analyzed to determine approval or disapproval and, in turn, to ascertain the type of media presentations that are again published thereafter by the gaming machine, solely based on the plurality of facial expressions of the user.
Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A computer-implemented method of user engagement and tracking user mannerisms for gaming systems, the method comprising: providing a gaming machine with a display screen, eye-tracking software, facial recognition software, a camera configured to face in the same direction as the display screen faces, and a media player, the facial recognition software operably configured to recognize a plurality of facial expressions of a user using a plurality of facial recognition parameters on the user's face; providing a central database communicatively coupled with the gaming machine and storing a plurality of media presentations; publishing one of the plurality of media presentations through the media player on the display screen of the gaming machine; confirming sight by the user of the one of the plurality of media presentations using eye-tracking software and using the camera; while confirming sight by the user, capturing, through the facial recognition software, at least one of the plurality of facial expressions of the user; and publishing another of the plurality of media presentations through the media player on the display screen and, after initial publication of the one of the plurality of media presentations, solely based on the at least one of the plurality of facial expressions of the user.
Gaming systems and user interaction. This invention addresses the need to track user engagement and mannerisms within a gaming environment. The system involves a gaming machine equipped with a display screen, a camera facing the user, eye-tracking software, and facial recognition software. A media player is also integrated. The facial recognition software analyzes a user's face using various parameters to identify multiple facial expressions. A central database stores various media presentations and is connected to the gaming machine. The gaming machine presents one media presentation on its display. The system then confirms the user is looking at the presentation using the eye-tracking software and camera. While the user is confirmed to be viewing, the facial recognition software captures at least one of the user's facial expressions. Subsequently, another media presentation is published on the display. This subsequent presentation is selected and displayed solely based on the captured facial expression of the user, occurring after the initial media presentation was shown. This allows for dynamic content delivery driven by user emotional responses.
2. The method according to claim 1 , further comprising: prompting the user through the display screen to elicit an intentional facial response of the user of either a smile and a frown on the user's face and, once sight by the user is confirmed, the smile and the frown on the user's face associated with a user approval and a user disapproval, respectively, of the one of the plurality of media presentations.
This invention relates to user interaction systems that analyze facial expressions to determine approval or disapproval of media presentations. The technology addresses the challenge of passively detecting user sentiment without requiring explicit input, such as button presses or voice commands, which can be inconvenient or intrusive. The system prompts a user to intentionally display either a smile or a frown in response to a media presentation, such as a video, image, or audio clip. A camera or sensor captures the user's facial expression, and the system interprets a smile as approval and a frown as disapproval. This method ensures that the user's response is intentional, reducing ambiguity in sentiment analysis. The system may also confirm that the user is looking at the display before recording the response, ensuring accurate feedback. This approach enhances user engagement by making the feedback process intuitive and non-disruptive, while providing reliable sentiment data for media content evaluation. The technology is applicable in entertainment, advertising, and user experience research, where understanding audience reactions is critical.
3. The method according to claim 2 , further comprising: capturing, through the facial recognition software, the intentional facial response and communicating the intentional facial response to the central database for association with one of a plurality of user records resident thereon and to generate the user baseline.
This invention relates to a system for analyzing and processing facial responses to generate user-specific baselines for intentional facial expressions. The system addresses the challenge of accurately distinguishing intentional facial expressions from involuntary reactions, which is critical for applications such as biometric authentication, emotion recognition, and user interaction analysis. The method involves capturing facial expressions using facial recognition software, which detects and processes facial movements to determine whether they are intentional or involuntary. Once an intentional facial response is identified, it is communicated to a central database where it is associated with a specific user record. The system then generates a user baseline based on this intentional response, which serves as a reference for future comparisons. This baseline can be used to verify user identity, assess emotional states, or improve interaction accuracy in various applications. The system may also include a user interface for displaying prompts or instructions to elicit intentional facial responses, ensuring consistency in the captured data. The central database stores multiple user records, allowing for personalized baselines that adapt to individual facial characteristics and expression patterns. By associating intentional responses with specific users, the system enhances the reliability of facial recognition and expression analysis, reducing errors caused by involuntary movements or external factors. This approach improves the accuracy and security of facial recognition systems in real-world applications.
4. The method according to claim 3 , further comprising: publishing another of the plurality of media presentations through the media player on the display screen and, after initial publication of the one of the plurality of media presentations and during publication of the another of the plurality of media presentations through the media player on the display screen, prompting the user through the display screen to elicit another intentional facial response of the user of either the smile and the frown on the user's face.
This invention relates to interactive media presentation systems that detect and respond to a user's facial expressions. The system addresses the problem of passive media consumption by engaging users through real-time facial expression recognition, particularly smiles and frowns, to enhance interactivity and personalization. The method involves displaying a media presentation on a screen and detecting a user's intentional facial response, such as a smile or frown, using a camera and image processing. The system then adjusts the media presentation based on the detected expression, such as modifying content, playback, or user interface elements. Additionally, the system can publish multiple media presentations sequentially and prompt the user to elicit another intentional facial response during the transition between presentations. This ensures continuous engagement by requiring the user to actively participate in the experience. The technology leverages computer vision and machine learning to analyze facial expressions, enabling dynamic and responsive media interactions. By detecting and responding to smiles or frowns, the system creates a more immersive and personalized user experience, distinguishing it from traditional passive media consumption methods. The method ensures that the user's expressions are intentionally provided, avoiding accidental or unintended inputs.
5. The method according to claim 4 , further comprising: capturing, through the facial recognition software, the another intentional facial response of the user and communicating the another intentional facial response to the central database for ascertaining the user approval or the user disapproval using the user baseline.
This invention relates to a system for detecting and analyzing intentional facial responses of a user to determine approval or disapproval. The system uses facial recognition software to capture facial expressions, which are then compared against a stored user baseline to assess the user's intent. The baseline represents the user's typical facial responses, allowing the system to distinguish between intentional expressions and neutral or unintentional reactions. The system further includes a central database that stores the baseline and processes captured facial responses to determine whether the user approves or disapproves of a given stimulus. The method involves capturing an initial intentional facial response, storing it as part of the baseline, and later capturing additional intentional responses to verify the user's approval or disapproval. The system may be used in applications such as user authentication, sentiment analysis, or interactive interfaces where real-time feedback is required. The invention improves upon existing facial recognition systems by focusing on intentional expressions rather than passive detection, ensuring more accurate and context-aware user feedback.
6. The method according to claim 5 , further comprising: removing or maintaining the publication of the another of the plurality media presentations with the user approval or the user disapproval, respectively, of the another intentional facial response of the user.
This invention relates to systems for managing media presentations based on user facial responses. The technology addresses the problem of automatically controlling the visibility or removal of media content in response to real-time user reactions, ensuring that content is only displayed when it aligns with user preferences or approval. The method involves detecting intentional facial responses from a user while they view media presentations. These responses are analyzed to determine whether the user approves or disapproves of the content. If the user approves, the media presentation remains published or continues to be displayed. If the user disapproves, the media presentation is removed or its publication is halted. The system can handle multiple media presentations simultaneously, adjusting each based on the user's specific reaction to that content. The method also includes steps for capturing and processing facial data, such as using cameras and image recognition algorithms to identify facial expressions indicative of approval or disapproval. The system may prompt the user for confirmation or further input to refine the detection of intentional responses. This ensures that only deliberate reactions influence the media presentation's visibility, reducing false triggers from accidental expressions. By dynamically adjusting media visibility based on user feedback, the invention improves user experience by filtering content in real time, ensuring that only approved or preferred media remains accessible. This approach is particularly useful in interactive environments where user engagement and content relevance are critical.
7. The method according to claim 1 , wherein: the facial recognition software operably configured to recognize the plurality of facial expressions using the plurality of facial recognition parameters on the user's face and with a user baseline.
A system and method for facial expression recognition involves analyzing a user's facial expressions using facial recognition software. The software is configured to detect and recognize multiple facial expressions by comparing the user's facial features against a set of predefined facial recognition parameters. These parameters define the characteristics of different expressions, such as smiles, frowns, or raised eyebrows. The software also uses a user-specific baseline, which is a reference model of the user's neutral or default facial expressions. This baseline helps the system account for individual variations in facial structure and expression patterns, improving accuracy. The system captures images or video of the user's face, processes the data to extract facial landmarks, and compares these landmarks against the recognition parameters and baseline. The result is a determination of the user's current facial expression, which can be used for applications such as emotion detection, user authentication, or human-computer interaction. The method ensures that the recognition process is personalized and adaptable to different users, enhancing reliability in real-world scenarios.
8. The method according to claim 7 , further comprising: if the sight by the user is not confirmed after one of the plurality of media presentations is published, do not prompt the user through the display screen to elicit an intentional facial response of the user of either the smile and the frown on the user's face.
This invention relates to user interaction systems that analyze facial expressions to confirm user engagement with media presentations. The problem addressed is ensuring that user responses to media content are intentional and not accidental, particularly when detecting facial expressions like smiles or frowns. The system presents multiple media items to a user and monitors their facial expressions to confirm engagement. If the user's gaze is not detected during or after a media presentation, the system avoids prompting the user for an intentional facial response, such as a smile or frown, through the display screen. This prevents false or unintentional responses from being recorded. The method ensures that only deliberate user reactions are captured, improving the accuracy of engagement metrics. The system may also include steps to detect the user's gaze, analyze facial expressions, and determine whether the user is actively viewing the media before prompting for a response. This approach enhances the reliability of user feedback in interactive media applications.
9. The method according to claim 8 , further comprising: after confirming sight by the user of the one of the plurality of media presentations using eye-tracking software, measuring ambient lighting around the camera of the gaming machine and, if unable to capture the intentional facial response through the facial recognition software because of insufficient ambient lighting around the camera of the gaming machine, increasing the brightness of the display screen on the mobile electronic device.
This invention relates to enhancing facial recognition and eye-tracking systems in gaming machines to improve user interaction and authentication. The problem addressed is the difficulty in accurately capturing facial responses and eye movements due to insufficient ambient lighting around the camera, which can lead to authentication failures or inaccurate user engagement tracking. The method involves using eye-tracking software to confirm that a user is actively viewing one of multiple media presentations displayed on a gaming machine. After confirming sight, the system measures ambient lighting conditions around the gaming machine's camera. If the lighting is insufficient to capture the user's intentional facial responses via facial recognition software, the system increases the brightness of the display screen on a connected mobile electronic device. This adjustment compensates for poor lighting, ensuring reliable facial recognition and eye-tracking data collection. The mobile device's display screen may be used as an auxiliary light source to illuminate the user's face, improving the accuracy of facial recognition and authentication processes. This method ensures seamless user interaction with gaming machines, even in low-light environments.
10. The method according to claim 1 , further comprising: periodically confirming sight by the user using the eye-tracking software to recognize a smile and a frown on a user's face with a user baseline.
This invention relates to eye-tracking systems used in human-computer interaction, specifically for confirming user engagement and emotional responses. The technology addresses the challenge of ensuring continuous user attention and detecting subtle facial expressions like smiles and frowns to improve interaction accuracy. The method involves using eye-tracking software to monitor a user's gaze and facial expressions, comparing them against a pre-established user baseline to confirm sight and interpret emotional cues. By periodically verifying the user's engagement through recognized facial expressions, the system enhances the reliability of eye-tracking applications in fields such as virtual reality, assistive technologies, and user interface design. The baseline comparison allows the system to adapt to individual variations in facial features and expression patterns, ensuring consistent performance across different users. This approach improves the accuracy of gaze-based interactions and enables more intuitive and responsive human-computer interfaces. The method is particularly useful in applications requiring prolonged user attention, where detecting fatigue or disinterest through frowns or lack of engagement can trigger adaptive responses from the system. By integrating emotional recognition with eye-tracking, the invention provides a more comprehensive understanding of user intent and state, leading to more effective and personalized interactions.
11. The method according to claim 1 , further comprising: after capturing the at least one of the plurality of facial expressions of the user, identifying the at least one of the plurality of facial expressions as comprising pupil dilation or horizontal movement and demarcating the intoxicated or non-intoxicated status of the user in the central database.
This invention relates to a system for detecting and analyzing facial expressions to determine a user's intoxication status. The method involves capturing images or video of a user's face to detect specific facial expressions, particularly those associated with intoxication. The system identifies key indicators such as pupil dilation or horizontal eye movement, which are known physiological responses to alcohol or drug impairment. Once detected, the system classifies the user as either intoxicated or non-intoxicated and records this status in a central database. The database can be used for monitoring, security, or compliance purposes, such as in workplaces, transportation, or public safety applications. The method may also involve additional steps like preprocessing the captured data to enhance accuracy, comparing detected expressions against predefined patterns, and generating alerts or notifications based on the results. The system aims to provide an automated, non-invasive way to assess intoxication, reducing reliance on manual observation or subjective judgment. The technology is particularly useful in environments where quick and objective intoxication detection is critical.
12. The method according to claim 11 , further comprising: reporting the status of the intoxicated or non-intoxicated user to a predetermined controller of the machine.
A system and method for detecting and reporting user intoxication status to control access to machinery. The technology addresses the problem of preventing intoxicated individuals from operating hazardous equipment, which can lead to accidents and injuries. The method involves analyzing user behavior or physiological data to determine whether the user is intoxicated or not. If intoxication is detected, the system can restrict access to the machine or alert a supervisor. The reporting function ensures that a designated controller or supervisor is informed of the user's status, allowing for appropriate intervention. This system enhances workplace safety by integrating real-time intoxication detection with machine access control, reducing the risk of accidents caused by impaired operators. The method may use various sensors or input devices to gather data, such as breathalyzers, biometric sensors, or behavioral analysis tools, and applies algorithms to assess intoxication levels. The reporting mechanism ensures that the status is communicated to the appropriate authority, enabling timely action. This approach is particularly useful in industries where machinery operation requires a high level of alertness and coordination.
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March 23, 2020
February 22, 2022
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